activity
20242026
collaborators

10 papers

eess.SP2026

Coordinated Multipoint Anti-jamming Beam Pattern Synthesis: From AI Accelerated Algorithm to Hardware Implementation

Zilong Wang, Cheng Zhang, Zhilei Zhang +3

This paper presents a deep unfolding-supported coordinated multipoint beam pattern synthesis (DUCoMP-BPS) scheme to overcome the high complexity, poor adaptability, and limited sca…

eess.SP2026

Joint Optimization of Latency and Accuracy for Split Federated Learning in User-Centric Cell-Free MIMO Networks

Zitong Wang, Cheng Zhang, Wen Wang +3

This paper proposes a user-centric split federated learning (UCSFL) framework for user-centric cell-free multiple-input multiple-output (CF-MIMO) networks to support split federate…

eess.SP2025

RMTransformer: Accurate Radio Map Construction and Coverage Prediction

Yuxuan Li, Cheng Zhang, Wen Wang +1

Radio map, or pathloss map prediction, is a crucial method for wireless network modeling and management. By leveraging deep learning to construct pathloss patterns from geographica…

eess.SP2025

Joint Detection and Angle Estimation for Multiple Jammers in Beamspace Massive MIMO

Pengguang Du, Cheng Zhang, Changwei Zhang +2

In this paper, we study the joint detection and angle estimation problem for beamspace multiple-input multiple-output (MIMO) systems with multiple random jamming targets. An iterat…

cs.IT2024

Lyapunov-guided Multi-Agent Reinforcement Learning for Delay-Sensitive Wireless Scheduling

Cheng Zhang, Lan Wei, Ji Fan +2

In this paper, a two-stage intelligent scheduler is proposed to minimize the packet-level delay jitter while guaranteeing delay bound. Firstly, Lyapunov technology is employed to t…

cs.LG2024

Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint

Yifan Wang, Cheng Zhang, Yuanndon Zhuang +3

Wireless networks supporting artificial intelligence have gained significant attention, with Over-the-Air Federated Learning emerging as a key application due to its unique transmi…

eess.SP2024

Jamming Detection and Channel Estimation for Spatially Correlated Beamspace Massive MIMO

Pengguang Du, Cheng Zhang, Yindi Jing +3

In this paper, we investigate the problem of jamming detection and channel estimation during multi-user uplink beam training under random pilot jamming attacks in beamspace massive…

eess.SP2024

Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System

Zilong Wang, Cheng Zhang, Changwei Zhang +1

In this letter, the maximization of resistible jamming power is studied for multi-user downlink millimeter-wave cell-free multiple-input-multiple-output (CF-MIMO) systems. We propo…

cs.IT2024

Joint Optimization of Data- and Model-Driven Probing Beams and Beam Predictor

Tianheng Lu, Fan Meng, Zhilei Zhang +3

Hierarchical search in millimeter-wave (mmWave) communications incurs significant beam training overhead and delay, especially in a dynamic environment. Deep learning-enabled beam…

cs.NI2024

Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network

Chong Zheng, Yongming Huang, Cheng Zhang +1

In this paper, we aim to maximize the SSR for heterogeneous service demands in the cooperative MEC-assisted RAN slicing system by jointly considering the multi-node computing resou…